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IMPROVING ENERGY EFFICIENCY THROUGH THERMAL CONTROL OF A MODULAR DATA CENTER

机译:通过模块化数据中心的热控制来提高能源效率

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As the IT industry's demand for greater power density racks grows, the operating cost associated with power and cooling IT equipment remains an ever present concern facing data centers. A key component in reducing Total Cost of Ownership (TCO) for a facility is to optimize their cooling system design. Hewlett-Packard has developed a self contained enclosure for high density servers and mass storage devices called a Modular Data Center (MDC). This unit is intended to reduce issues that have plagued large scale data centers by increasing cooling capacity and efficiency. This paper takes a look at the thermal control logic for the MDC and explains ways to decrease energy costs by developing a thermal control scheme centered on optimizing Power Usage Efficiency (PUE). Tests were conducted to understand the relationships between fan power and fan speed, facility power and thermal capacity. Areas of large power drains were isolated and analyzed. Tests showed that there are two parts in managing power usage on the MDC, system and facility control. In the development of a smarter control algorithm, the fans and water valve ("system") performance curves provided a road map to the hardware's capability. This was accomplished by understanding how key variables such as inlet water temperature, water flow rate and fan speed impact the behavior of server inlet air temperature and cooling capacity. Facility control comes from optimizing what equipment is in place to support the MDC (i.e. dedicated chiller, campus chiller, pumps, etc...) within a data center. A significant goal of this project was to minimize the dependency MDC has on external cooling by optimizing the variables that affect facility power. For instance controlling heat removal rate and exiting water temperature affects chiller power; while water flow rate affects pump power. Knowledge of your system and facility's capabilities directly impacts power management. Thermal performance testing of the heat exchanger in the MDC provided insight into how increasing thermal efficiency at the heat exchanger produced an overall drop in facility power. Tests revealed that the optimized thermal control system achieved an infrastructure energy savings up to 33% with a PUE improvement from 1.35 to 1.23 for a 100KW IT heat load. The results show that characterizing and incorporating the behavior of the fans and heat exchanger into the thermal control system produced an improved Power Usage Efficiency (PUE) and a smarter control method.
机译:随着IT行业对更大功率密度机架的需求不断增长,与电源和散热IT设备相关的运营成本仍然是数据中心面临的一个持续关注的问题。降低设施总体拥有成本(TCO)的关键因素是优化其冷却系统设计。惠普开发了一种用于模块化服务器(MDC)的高密度服务器和大容量存储设备的独立式机箱。该单元旨在通过提高冷却能力和效率来减少困扰大型数据中心的问题。本文研究了MDC的热控制逻辑,并说明了通过开发以优化电源使用效率(PUE)为中心的热控制方案来降低能源成本的方法。进行测试以了解风扇功率和风扇速度,设施功率和热容量之间的关系。隔离并分析了大功率消耗区域。测试表明,在MDC上管理用电有两个部分,即系统控制和设施控制。在开发更智能的控制算法时,风扇和水阀(“系统”)的性能曲线提供了硬件功能的路线图。这是通过了解关键变量(例如进水温度,水流量和风扇速度)如何影响服务器进风温度和冷却能力的行为来实现的。设施控制来自于优化在数据中心内支持MDC的设备(即专用冷水机,校园冷水机,水泵等)。该项目的一个重要目标是通过优化影响设施电力的变量来最小化MDC对外部冷却的依赖性。例如,控制排热速度和出水温度会影响冷水机组的功率。而水流量会影响泵的功率。您对系统和设施功能的了解直接影响电源管理。在MDC中对热交换器进行热性能测试,可以深入了解如何提高热交换器的热效率,从而导致设施电力整体下降。测试表明,针对100KW IT热负荷,优化后的热控制系统可将基础设施节能高达33%,PUE从1.35提高到1.23。结果表明,对风扇和热交换器的行为进行表征并将其纳入热控制系统,可以提高电源使用效率(PUE)和更智能的控制方法。

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